Development of a Data-Driven Mobile 5G Testbed: Platform for Experimental Research

Ying Wang, Adam Gorski, Aloizio Pereira Da Silva

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    25 Scopus citations

    Abstract

    The presented 5G testbed aims to prototype an end-to-end mobile data-driven platform for experimental 5G and interdisciplinary research. The testbed design and implementation for both indoor and outdoor are described. 5G introduces more flexibility compared to previous generations of cellular networks for higher performance and flexibility and allows customization for verticals; meanwhile, it brings critical challenges for system security and user experience. Data collection at multiple components on the testbed provides the opportunity for further Artificial Intelligence (AI) based security and performance improvements in various vertical applications. The built data frameworks include data collection, labeling, synchronization, and storing for both near-real-time use cases and non-real-time use cases. This design enables O-RAN compliance through E2 and O2 interface. The outdoor mobility of our 5G testbed allows deployment to places without existing infrastructure. The throughput and latency performance of the testbed is studied. Two data-driven use cases with access to C-Band spectrum in an outdoor environment are studied and evaluated, focusing on the switching between Long Term Evolution (LTE) and (New Radio) NR cell in Non-Standalone (NSA) and antenna direction recognition to enable location aware beamforming separately. The built testbed has a flexible architecture that enables connectivity between the system under test and 5G infrastructure with minimal necessary preparation. The 5G testbed consists of a hybrid design of license-based infrastructure and open-source infrastructure to provide in-depth configurable testing capability and scalable development.

    Original languageEnglish
    Title of host publication2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021
    Pages324-329
    Number of pages6
    ISBN (Electronic)9781665445054
    DOIs
    StatePublished - 2021
    Event2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021 - Athens, Greece
    Duration: 7 Sep 202110 Sep 2021

    Publication series

    Name2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021

    Conference

    Conference2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021
    Country/TerritoryGreece
    CityAthens
    Period7/09/2110/09/21

    Keywords

    • 5G
    • C-Band
    • Data framework
    • Data-driven
    • ENDC
    • KPI
    • Machine learning
    • Mobile testbed
    • NR
    • O-RAN
    • Outdoor
    • Testbed

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